Production AI Engineer: Build Scalable Care Solutions

Embedded Shishya

United States

Remote

USD 120,000 - 160,000

Full time

14 days+
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Job summary

Direct Supply is hiring engineers to design, ship, and operate AI systems in production, improving care delivery for millions of seniors. You will own technical calls, work with customers and product teams, and see your product used at scale.

This role spans discovery through deployment and monitoring, demanding strong technical rigor, architecture discipline, and high autonomy to deliver measurable customer impact.

Qualifications

  • 2+ years in software engineering or applied AI.
  • Experience working with AI development tools in full-stack applications.
  • Experience designing AI-based solutions to real workflows.
  • Working knowledge of cloud and frontier AI platforms.

Responsibilities

  • Design, build, and operate systems in customer-facing production environments.
  • Translate ambiguous business and customer problems into prototypes & technical specs.
  • Track AI capabilities and apply them where they create clear leverage.
  • Own the full application lifecycle: product discovery, experimentation, evaluation, deployment, and monitoring.
  • Own system design, tradeoffs, and long-term scaling and maintainability.
  • Build code bases that are legible to agents and other developers; drive the organization forward onto tooling.
  • Partner with product managers to enhance their product vision, including with AI-native solutions.

Skills

Applied AI fundamentals
Software engineering fundamentals
Autonomy
Customer focus
Product judgment

Education

Computer Science / Engineering / Data Science degree

Tools

Python
C#
TypeScript
PostgreSQL
Docker
Terraform
AWS

Job description

Direct Supply is hiring engineers to design, ship, and operate AI systems in production, improving care delivery for millions of seniors. You will own technical calls, work with customers and product teams, and see your product used at scale.

This role spans discovery through deployment and monitoring, demanding strong technical rigor, architecture discipline, and high autonomy to deliver measurable customer impact.

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